ISBN-10:
3540231226
ISBN-13:
9783540231226
Pub. Date:
10/15/2004
Publisher:
Springer Berlin Heidelberg
Advanced Lectures on Machine Learning: ML Summer Schools 2003, Canberra, Australia, February 2-14, 2003, T�bingen, Germany, August 4-16, 2003, Revised Lectures / Edition 1

Advanced Lectures on Machine Learning: ML Summer Schools 2003, Canberra, Australia, February 2-14, 2003, T�bingen, Germany, August 4-16, 2003, Revised Lectures / Edition 1

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Product Details

ISBN-13: 9783540231226
Publisher: Springer Berlin Heidelberg
Publication date: 10/15/2004
Series: Lecture Notes in Computer Science , #3176
Edition description: 2004
Pages: 246
Product dimensions: 6.10(w) x 9.25(h) x 0.36(d)

Table of Contents

An Introduction to Pattern Classification.- Some Notes on Applied Mathematics for Machine Learning.- Bayesian Inference: An Introduction to Principles and Practice in Machine Learning.- Gaussian Processes in Machine Learning.- Unsupervised Learning.- Monte Carlo Methods for Absolute Beginners.- Shastic Learning.- to Statistical Learning Theory.- Concentration Inequalities.

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